AI & Machine Learning
Natural Language Processing with Transformers
Understand how transformer models revolutionized NLP and learn to implement them. Explore attention mechanisms, BERT, GPT, T5, fine-tuning, tokenization, and building custom NLP applications.
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Transformers have become the foundation of modern NLP. Learn how they work and how to use them.
Transformer Architecture
Transformer models are built on the attention mechanism. Self-attention allows the model to learn relationships between different words.
BERT and GPT
BERT offers bidirectional encoding. GPT uses autoregressive language modeling. Both are powerful for different NLP tasks.
Fine-tuning and Application
Fine-tune pre-trained models with the Hugging Face library. Use transfer learning for custom NLP applications.
